| Description |
1 online resource (755 pages) |
| Series |
Communications in computer and information science, 1865-0937 ; v. 1168 |
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Communications in computer and information science ; v. 1168.
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| Contents |
Intro -- Preface -- Organization -- Contents -- Part II -- Contents -- Part I -- Second International Workshop on Knowledge Discovery and User Modeling for Smart Cities (UMCit) -- District Heating Substation Behaviour Modelling for Annotating the Performance -- 1 Introduction -- 2 Methods and Techniques -- 2.1 Sequential Pattern Mining -- 2.2 Clustering Analysis -- 2.3 Distance Measure -- 3 Proposed Method -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- Modeling Evolving User Behavior via Sequential Clustering -- 1 Introduction |
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2 Modeling Evolving User Behavior via Sequential Clustering -- 2.1 Sequential Partitioning Algorithm -- 2.2 Partitioning Algorithms -- 2.3 Dynamic Time Warping Algorithm -- 3 Case Study: Modeling Household Electricity Consumption Behavior -- 3.1 Case Description -- 3.2 Data and Experiments -- 3.3 Results and Discussion -- 4 Conclusions and Future Work -- References -- Recognizing User's Activity and Transport Mode Detection: Maintaining Low-Power Consumption -- 1 Introduction -- 2 Related Work -- 3 Data Collection -- 4 Data Preprocessing -- 5 Feature Extraction -- 6 Classification Models |
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6.1 Accelerometer Features -- 7 Evaluation and Results -- 7.1 Effect of Filtering Raw Accelerometer Data on Classification Accuracy -- 7.2 Effect of Location Data on Classification Accuracy -- 8 Conclusion -- References -- Can Twitter Help to Predict Outcome of 2019 Indian General Election: A Deep Learning Based Study -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset Collection -- 3.2 Hashtags Based Tweets Segregation -- 3.3 Twitter Sentiment Classification -- 3.4 Opinion Analysis Corresponding to Different States -- 4 Conclusion -- References |
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Towards Sensing and Sharing Auditory Context Information Using Wearable Device -- 1 Introduction -- 2 Wearable Ambient Sound Sensing System -- 2.1 Wearable Device -- 2.2 Auditory Sensing Data -- 3 Extracting Context Information -- 3.1 Segmentation of Multi-dimensional Time-Series Data -- 4 Discussion and Future Work -- 5 Conclusion -- References -- Workshop on Data Integration and Applications (DINA) -- Noise Reduction in Distant Supervision for Relation Extraction Using Probabilistic Soft Logic -- 1 Introduction -- 2 Related Work -- 3 Probabilistic Soft Logic |
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4 HL-MRF Model for Noise Reduction -- 4.1 Prior Model -- 4.2 Consistency Between Predictions of NER Systems -- 4.3 Sentence Structure Analysis -- 4.4 Context-Based Constraints -- 4.5 Semantic Similarity in Noise Reduction -- 5 Experimental Evaluation -- 5.1 Experimental Setup: Data and Models -- 5.2 Experimental Setup: Benchmark Methods -- 5.3 Experimental Results -- 6 Conclusions and Outlook -- References -- Privacy-Preserving Record Linkage to Identify Fragmented Electronic Medical Records in the All of Us Research Program -- 1 Introduction -- 1.1 The All of Us Research Program |
| Summary |
This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in Würzburg, Germany, in September 2019. The 70 full papers and 46 short papers presented in the two-volume set were carefully reviewed and selected from 200 submissions. The two volumes (CCIS 1167 and CCIS 1168) present the papers that have been accepted for the following workshops: Workshop on Automating Data Science, ADS 2019; Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence and eXplainable Knowledge Discovery in Data Mining, AIMLAI-XKDD 2019; Workshop on Decentralized Machine Learning at the Edge, DMLE 2019; Workshop on Advances in Managing and Mining Large Evolving Graphs, LEG 2019; Workshop on Data and Machine Learning Advances with Multiple Views; Workshop on New Trends in Representation Learning with Knowledge Graphs; Workshop on Data Science for Social Good, SoGood 2019; Workshop on Knowledge Discovery and User Modelling for Smart Cities, UMCIT 2019; Workshop on Data Integration and Applications Workshop, DINA 2019; Workshop on Machine Learning for Cybersecurity, MLCS 2019; Workshop on Sports Analytics: Machine Learning and Data Mining for Sports Analytics, MLSA 2019; Workshop on Categorising Different Types of Online Harassment Languages in Social Media; Workshop on IoT Stream for Data Driven Predictive Maintenance, IoTStream 2019; Workshop on Machine Learning and Music, MML 2019; Workshop on Large-Scale Biomedical Semantic Indexing and Question Answering, BioASQ 2019 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
1.2 Data Fragmentation Across Institutions |
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Print version record |
| Subject |
Machine learning -- Congresses
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Data mining -- Congresses
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Data mining
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Machine learning
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| Genre/Form |
Electronic books
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proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Cellier, Peggy.
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Driessens, Kurt
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| ISBN |
9783030438876 |
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3030438872 |
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9783030438234 |
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3030438236 |
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